Video summary
Password Attacks - CompTIA Security+ SY0-701 - 2.4
Main summary
Key takeaways
Main ideas and concepts / lessons
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Credential storage risk (“in the clear”)
- In some IT systems, an application may store usernames and passwords unencrypted (“in the clear”).
- This is a major security concern because anyone who gains access to the stored files/databases can immediately obtain plain-text usernames and passwords, enabling rapid account compromise.
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Basic defensive guidance
- Never store passwords as plain text.
- If an application stores passwords insecurely, the recommended options are:
- Stop using the application, and/or
- Contact the application developer to request a rewrite so passwords can be stored securely.
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Hashing as the secure storage method
- Instead of storing passwords directly, store passwords as hashes.
- Hashing concept:
- Takes a variable-length input (the password) and produces a fixed-length output (the message digest / fingerprint).
- A small change in input results in a very different hash output (avalanche effect).
- Hashes cannot realistically be reversed to recover the original password (analogy: fingerprints can’t reconstruct the whole person).
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Illustrative example
- Example given: using SHA-256.
- Passwords like
123456and1234567produce very different hashes. - In credential storage, you may see usernames, but the stored password field contains only the hash, not the original password.
Attacks discussed and how hashing changes what attackers can do
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Account lockout behavior
- Many systems lock accounts after a few incorrect attempts (sometimes after a time period, sometimes requiring re-enable).
- This discourages online guessing.
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Password spraying attack
- Attack approach:
- Try common passwords across many accounts, often only a few attempts per account to avoid lockout.
- Rationale:
- If an attacker uses the most common passwords (examples mentioned from Wikipedia: formats like
123456,123456789,qwerty, etc.), they can quickly test likely credentials.
- If an attacker uses the most common passwords (examples mentioned from Wikipedia: formats like
- How it differs from brute force:
- Spraying is targeting many accounts with few guesses each.
- It aims to avoid triggering alarms/lockouts and can work effectively online.
- Attack approach:
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Brute force attack
- Generic idea:
- Try many password candidates until the correct one is found.
- If accounts lock online, online brute force is slow and limited.
- Generic idea:
Detailed attacker methodology (brute force process)
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Prerequisite: attacker obtains password hashes
- The attacker has a file or data containing:
- Usernames/IDs (e.g., name ID / group ID)
- The hashed passwords for those accounts
- The attacker may obtain this hash data via a download or other compromise.
- The hash alone does not reveal the original password.
- The attacker has a file or data containing:
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Online brute force (slow)
- Conceptual steps described:
- Start with a candidate password (example begins with
aaaaa). - Compute its hash.
- Compare the computed hash to the stored hash.
- If it doesn’t match, move to the next candidate and repeat.
- Continue until a matching hash is found (example stated: the sought password is literally
password).
- Start with a candidate password (example begins with
- Limitation:
- Online attempts are slowed because systems may allow only limited tries per day or trigger lockouts.
- Conceptual steps described:
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Offline brute force (preferred by attackers)
- Steps described:
- Copy/download the password-hash file (including usernames/IDs and hashed passwords).
- Because it’s offline, there’s no account lockout risk.
- The attacker can try as many guesses as needed given time and computing power.
- Keep iterating through password candidates and hashing them until a candidate hash matches one stored in the file.
- Steps described:
Speakers or sources featured
- Source mentioned: Wikipedia (for the “top five most common passwords” list)
- No individual speakers are explicitly identified in the subtitles.
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